Instructions to use bumblebee-testing/tiny-random-LlamaForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-LlamaForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bumblebee-testing/tiny-random-LlamaForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-LlamaForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("bumblebee-testing/tiny-random-LlamaForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from bumblebee-testing/tiny-random-LlamaForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 195 kB
-
https://huggingface.co/bumblebee-testing/tiny-random-LlamaForSequenceClassification/resolve/main/model.safetensors
- Command line
-
hf download hf://bumblebee-testing/tiny-random-LlamaForSequenceClassification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bumblebee-testing/tiny-random-LlamaForSequenceClassification/resolve/main/model.safetensors
195 kB
- Xet hash:
- 1935015716c5bc478d5c7884dbfc816837f544a22cb2834ee4caba05ac5ca88a
- Size of remote file:
- 195 kB
- SHA256:
- 13c69f2c7626283f054080410f3da00b9eb29138d3190957ea2e3c4b658b761e
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